scholarly journals Tissue engineered human ear pinna derived from decellularized goat ear cartilage: clinically useful and biocompatible auricle construct

Author(s):  
Nilesh C. Bhamare ◽  
Kishor R. Tardalkar ◽  
Jeevitaa Kshersagar ◽  
Shashikant R. Desai ◽  
Tejas B. Marsale ◽  
...  
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Author(s):  
Lu Zhang ◽  
Qiong Li ◽  
Yu Liu ◽  
Guangdong Zhou ◽  
Wei Liu ◽  
...  
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2011 ◽  
Vol 145 (6) ◽  
pp. 915-923 ◽  
Author(s):  
John P. Dahl ◽  
Montserrat Caballero ◽  
Andrew K. Pappa ◽  
Gitanjali Madan ◽  
William W. Shockley ◽  
...  

Objective. Nanofiber-supported, in vitro–generated cartilage may represent an optimal starting material for the development of a cartilage implant for use in microtia reconstruction. To do so, the authors aim to first characterize the molecular composition of endogenous auricular cartilage and determine if human umbilical cord mesenchymal stem cells (hUCMSCs) can be differentiated into cartilage in vitro. Study Design. Prospective, controlled. Setting. Academic research laboratory. Subjects and Methods. Human ear cartilage from normal adults, pediatric patients with microtia, and pediatric patients with preauricular appendages (n = 2) was analyzed for collagens I, II, and X and elastin expression. In parallel, hUCMSCs were cultured on either polycaprolactone (PCL) or D, L-lactide-co-glycolic acid (PLGA) nanofiber scaffolds for 21 days under chondrogenic conditions. Cells were harvested for histologic, biochemical, and quantitative polymerase chain reaction analysis. Control cells were grown under both chondrogenic and nonchondrogenic conditions in the absence of nanofiber scaffolds. Results. Histological analysis of human ear cartilage revealed similar levels and distribution of collagens I and X and elastin. Collagen II was not highly expressed in the microtia samples. hUCMSC cultures stained positively for glycosaminosglycans (GAG) and sulfated proteoglycans. Compared to control cells, hUCMSCs grown on PLGA nanofiber scaffolds had a higher differentiation index ( P ≤ .012) and higher levels of collagen X mRNA expression ( P ≤ .006). Conclusion. These data provide information regarding the composition of endogenous ear cartilage and suggest that hUCMSCs grown on PLGA nanofiber scaffolds may represent an optimal starting material for the development of a cartilage implant for use in microtia reconstruction.


2020 ◽  
Author(s):  
Meghnad Joshi ◽  
Nilesh Bhamare ◽  
Kishor Tardalkar ◽  
jeevitaa kshersagar ◽  
Shashikant Desai ◽  
...  
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Skull Base ◽  
2007 ◽  
Vol 17 (S 1) ◽  
Author(s):  
Pierre Rabischong
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Author(s):  
Dr. Hitesh Paghadar

Increasing environment noise pollution is a matter of great concern and of late has been attracting public attention. Sound produces the minute oscillatory changes in air pressure and is audible to the human ear when in the frequency range of 20Hz to 20 kHz. The chief sources of audible sound are the magnetic circuit of transformer which produces sound due to magnetostriction phenomenon, vibration of windings, tank and other structural parts, and the noise produced by cooling equipments. This paper presents the validation for sound level measurement scale, why A-weighted scale is accepted for sound level measurement, experimental study carried out on 10MVA Power Transformer. Also presents the outcomes of comparison between No-Load sound & Load sound level measurement, experimental study carried out on different transformer like - 10MVA, 50MVA, 100MVA Power Transformer, to define the dominant factor of transformer sound generation.


Author(s):  
V. Jagan Naveen ◽  
K. Krishna Kishore ◽  
P. Rajesh Kumar

In the modern world, human recognition systems play an important role to   improve security by reducing chances of evasion. Human ear is used for person identification .In the Empirical study on research on human ear, 10000 images are taken to find the uniqueness of the ear. Ear based system is one of the few biometric systems which can provides stable characteristics over the age. In this paper, ear images are taken from mathematical analysis of images (AMI) ear data base and the analysis is done on ear pattern recognition based on the Expectation maximization algorithm and k means algorithm.  Pattern of ears affected with different types of noises are recognized based on Principle component analysis (PCA) algorithm.


2021 ◽  
Author(s):  
José Francisco Rodríguez‐Vázquez ◽  
María Cruz Iglesias‐Moreno ◽  
Adriana Poch ◽  
Gen Murakami ◽  
Hiroshi Abe ◽  
...  
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